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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
ESPERIENZE D IMPRESA
Article . 2019 . Peer-reviewed
Data sources: Crossref
ESPERIENZE D IMPRESA
Article . 2019
Data sources: mEDRA
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Are social network useful for the real estate market? A case study of an italian real estate agency

Authors: Chiacchierini, C; Di Gregorio, A; GURIOLI, MARTINA;

Are social network useful for the real estate market? A case study of an italian real estate agency

Abstract

This article aims to understand if and how social networks’ marketing strategy could help real estate agencies to attract both homebuyers and home sellers. In particular, this paper investigates the reasons why real estate firms decide to use social networks and how these new media can be integrated in a synergistic way with other media and Customer Relationship Management (CRM) systems. A case study was carried out to analyze a real estate agency located in the Milanese area that represents a best practice since it was a pioneer of Facebook and Instagram in the real estate market. In line with previous research, this paper demonstrates that social networks are powerful tools to get in contact with potential customers, increase customers’ loyalty, enhance brand reputation and boost electronic word-of-mouth. However, findings highlight the new tendency of real estate agencies to adopt social networks in order to keep up with the times and reveal that they do not integrate social networks with other media and CRM systems to improve awareness, consideration, conversion, loyalty and advocacy. In this scenario, the paper provides some recommendations for marketers that may help them to build an effective marketing funnel in the real estate context.

Country
Italy
Keywords

social network

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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
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